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Record W2074119988 · doi:10.2118/146178-ms

A Laboratory Study of the Effects of Fluid Compositions on Gas-Water Interfacial Tension at HP/HT Reservoir Conditions

2011· article· en· W2074119988 on OpenAlexaff
Ali Shariat, R.G. Moore, S. A. Mehta, K. C. Van Fraassen, K. E. Newsham, J. A. Rushing

Bibliographic record

VenueSPE Annual Technical Conference and Exhibition · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicAtmospheric and Environmental Gas Dynamics
Canadian institutionsApache (Canada)University of Calgary
Fundersnot available
KeywordsHydrocarbonMethanePropaneChemistryNatural gasDistilled waterCarbon dioxideSurface tensionGas compositionEnvironmental chemistryPhase (matter)Analytical Chemistry (journal)ChromatographyThermodynamicsOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract This paper presents the second phase of a comprehensive, three-year laboratory study designed to measure gas-water interfacial tension (IFT) at high-pressure/high-temperature (i.e., HP/HT) reservoir conditions. The first phase of our laboratory study (Rushing, et al., 2008a) evaluated the effects of pressure and temperature as well as common nonhydrocarbon contaminants (i.e., CO2 and N2) in the gas phase on gas-water IFT for several dry gas mixtures with specific gas gravities ranging from 0.5781 to 0.7664. These gas mixtures contained primarily methane but also had small percentages of ethane and propane. Carbon dioxide or nitrogen concentrations ranged from 0, 5, 10 and 20 mole% each. All measurements were made with distilled water. The second phase of our study, which is presented in this paper, extends the work of Rushing, et al. (2008a) with the primary objective of evaluating the effects of gas phase hydrocarbon composition on gas-water IFTs at HP/HT reservoir conditions. Gas compositions of the tested gas mixtures from Phase I were expanded to include an additional five hydrocarbon components so that the final tested gas mixtures had components ranging from methane to n-hexanes. The resulting gas mixtures had specific gas gravities from 0.8871 to 1.0101. Similar to the first part of our study, we also evaluated the effects of CO2 and N2 in the gas phase. To establish base lines for comparing the effects of hydrocarbon and non-hydrocarbon composition, we also measured IFTs for the CH4-H2O system at HP/HT conditions. Gas-water IFTs for all gas mixtures were measured at pressures ranging from 1,000 psia to 20,000 psia and at temperatures of 300°F to 400°F. The single-gas-component base line measurements were made at the same pressure range but included two additional temperatures of 122ºF and 212ºF. Note that the gas mixtures for both study phases were designed to be "dry" gases which we define as one that remains in the single hydrocarbon (gas) phase during the entire isothermal pressure depletion path. All gas-water IFTs were measured using a pendant drop method with computer-aided image processing and analysis. Based on the measurements, we observed the following general behavior in gas-water IFTs at HP/HT conditions: Increasing the concentration of intermediate and heavier molecular weight hydrocarbons has a significant impact on the gas-water IFT. The largest difference occurs at lower temperatures and in the higher pressure range. Temperature still has the most significant impact on gas-water IFTs for all gas mixtures and at all pressures. Generally, increasing temperature decreases gas-water IFT. The presence of CO2 in the gas phase had little to no impact on the gas-water IFTs for both 300ºF and 400ºF. In general, CO2 caused IFTs to increase slightly at lower pressures. At higher pressures, the IFTs either decreased slightly or did not change regardless of the CO2 concentration. The presence of N2 in the gas phase had a much more significant impact than CO2 but only at the lower temperatures. For all gas mixtures, gas-water IFTs increased over most of the pressure range evaluated in this study. However, the decrease in IFT caused by increasing temperature completely countered the increase caused by N2 at 400oF.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.223
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2011
Admission routes1
Has abstractyes

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